datasci_4_web_viz

Explore web-based platforms for interactive data visualization, contrasting R's Shiny with Python's equivalents. Harness these tools to present data in interactive and user-friendly ways.

https://f5j0b9-helen0zheng.shinyapps.io/shiny_r_app/

Challenges Encountered for each deployment:

1. R's Shiny Visualization:

One challenge I faced was deploying the app with shinyapps.io. Following the tutorial, I ran into a problem in deploying a sample application. I created too many Shiny Web App since I ran into multiple errors deploying the application but the problem was publishing the application. I kept pressing Run App but it came out to be this:

Then I pressed publish application and realized there were multiple shiny web apps. So I deleted those and then published application on shinyappio and was able to deploy it. Shiny App deployment

2. Python's Shiny Visualization:

No complications here. I deployed it with shiny run cdc.py --reload in google shell cloud.

3. Flask with Matplotlib Visualization:

No complications here. I deployed it with python app.py in google shell cloud.